Abstract: Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications in an environment with limited or no available data. In particular, systems and methods are described herein for providing network arrangement recommendations based on power consumption predictions for selected applications within network arrangements featuring devices with non-homogenous or unknown specifications.

Abstract: Systems and methods are described herein for facilitating use of artificial intelligence platforms to generate network mappings for conducting blockchain actions. The system may access an internal index for an artificial intelligence platform, wherein the internal index comprises on-chain self-executing program characteristics and off-chain self-executing program characteristics and wherein the on-chain self-executing program characteristics and off-chain self-executing program characteristics are archived in the internal index based on respective temporal identifiers.

Abstract: An intrusion detection system and method includes an intrusion detection system processor communicatively coupled to multiple environmental change event sensors disposed within an enclosure housing a CPU of an ATM and independent of the CPU of the ATM. In response to receiving an environmental change event notification from one or more of the environmental change event sensors, the intrusion detection system processor commences a predetermined time-out period for entry of valid authentication credentials and deactivates a power supply of the automated teller machine upon expiry of the time-out period without receiving entry of valid authentication credentials.

Abstract: Systems and methods for providing an artificial intelligence-based solution in a dynamic environment that requires models with varying degrees of nuance and specialization. One such dynamic environment relates to generating dynamic human-like conversational responses based on complex data. In particular, systems and methods recite generating dynamic human-like conversational responses using a modular architecture featuring layered data models with gated neural networks. The modular architecture compartmentalizes the various components and functions of an application. That is, the architecture may support multiple layers, each featuring models performing specific functions and/or having been trained on using specific data and/or algorithms.

Abstract: Systems and methods for a programming language-agnostic data modeling platform that is both less resource intensive and scalable. Additionally, the programming language-agnostic data modeling platform allows for advanced analytics to be run on descriptions of the known logical data models, to generate data offerings describing underlying data, and to easily format data for compatibility with artificial intelligence systems. The systems and methods use a supplemental data structure that comprises logical data modeling metadata, in which the logical data modeling metadata describes the logical data model in a common, standardized language. For example, the logical data modeling metadata may comprise a transformer lineage of the logical data model.

Abstract: Presented herein are systems and methods for tracking and verifying software capabilities. A method may include obtaining, by a computer from a reporting database, a set of project requirements associated with a software under development, the set of project requirements replicated from a project database to the reporting database, obtaining, from the reporting database, a set of testing results generated by a test program applied to code of the software under development, the set of testing results replicated from a testing database to the reporting database, extracting, from the reporting database, each project requirement associated with the software under development and each testing result generated for the code of the software under development, the computer extracting each project requirement and each testing result according to a set of mapping pre-configurations, and generating an email message combining the project requirement and the testing result to transmit to a set of recipients.

Abstract: Systems and methods for generating a platform-agnostic data pipeline via a low code transformation layer are disclosed. The system receives one or more user selections of (i) nodes and (ii) links linking the nodes, indicating a data pipeline architecture of transfer/management/flow of data via a GUI. In response to receiving a user selection to implement the data pipeline, the system automatically identifies/generates a set of code portions, based on one or more software objects (e.g., JSON objects) associated with the user selections indicating the data pipeline architecture. The system then identifies a platform identifier associated with a remote server and generates a set of executable instructions (e.g., a script, executable program, or other file) associated with the data pipeline architecture by using a transformation component. The system then provides the executable instructions to the remote server to host the data pipeline.

Abstract: Systems and methods that provide centralized communication across feature programming workflows using software development lifecycle tools that dynamically determine temporal alerts are disclosed herein. By dynamically determining events that are temporally relevant, the system accounts for changes in an application timeline that comprises a plurality of events, in which each event of the plurality of events indicates when a respective feature of the plurality of features is available for use by the application, and in which the location of each event constantly changes.

Abstract: A custom system data stream stitches together aspects of various data streams from source systems. In one implementation, an analytics circuit of a computing system extracts, from a first data stream received from a system quality assurance (QA) management system, test case data. The analytics circuit parses metadata, including a user story identifier, from the test case data. Based on the user story identifier, the analytics circuit parses, from a second data stream received from a system development lifecycle (SDLC) management computing system, SDLC item data that includes a project identifier. Based on the project identifier from the second data stream, the analytics circuit determines at least one computer application impacted by activity associated with the test case data from the first data stream. Items from the source data streams are dynamically identified for inclusion in the custom system data stream. The custom system data stream is bound to a graphical user interface.

Abstract: Systems and methods are described herein for novel uses and/or improvements for designing user-specific interfaces using machine learning models. When a request to display certain data by an application is received, an application token and a user token may be retrieved and combined into a consolidated token. The consolidated token may be input into a machine learning model to obtain a user interface token for an application. The user interface token may indicate user interface settings/configuration desired/preferred by a user. The user interface token may then be sent to the application to cause the application to display the data using user interface configurations within the user interface token.

Abstract: Systems and methods for reducing network traffic by filtering network requests based on network request-related information to be transmitted to one or more remote computing systems are disclosed. The system receives a first network operation indicating (i) a request to access a first resource and (ii) a set of requestor specific criteria associated with accessing the first resource. The system identifies a set of entities associated with the first resource and selectively communicates with a filtered subset of the set of entities by: identifying a set of entity specific criteria for each entity of the set of entities; determining whether the requestor specific criteria satisfies the set of entity specific criteria of respective entities; and transmitting the first network operation to respective entities in response to the requestor specific criteria satisfying the set of entity specific criteria of the respective entity.

Abstract: Systems and methods for performing data analytics on sensitive data, such as deduplication are disclosed herein. A first request to perform a first data analytics operation for a set of sensitive data instances may be received. A first set of image representations for the set of sensitive data instances may be retrieved. A first sensitive data instance and a second sensitive data instance may be clustered into a first cluster. The first data analytics operation may be performed on the first cluster.

Abstract: Systems and methods for a bifurcated self-executing program that wraps a first self-executing program (e.g., a first smart contract) on a blockchain within a second self-executing program (e.g., a second smart contract), in which the second self-executing program enforces the digital signature requirement. The bifurcated self-executing program comprises a single compiled self-executing program that combines the first self-executing program and the second self-executing program.

Abstract: Disclosed are systems and methods that efficiently and reliably allows school district(s) and municipalities as well as third parties provide incentives to students' accounts, and those incentive awards can be converted to funds for additional education expenses. In one aspect, the method includes reconciling a plurality of transactions transferring funds to a student account from a municipal account upon a corresponding student accomplishing at least one of a plurality of goals. The goals are each based upon completion of an action stored in a municipal database. The method includes, upon reconciling the transactions, determining that a remaining amount in the municipal account is less than a predetermined threshold and automatically generating and transmitting an alert message to a dashboard user interface of the municipal account for display on a municipal workstation comprising an indicator that the remaining amount in the municipal account is less than the predetermined threshold.

Abstract: Systems and methods are described herein for performing vulnerability assessment on partially functional software applications (e.g., software applications currently at a phase in the development cycle prior to a user acceptance testing phase). By doing so, the system may detect vulnerabilities, if any, more easily based on the fewer functional components of the application. Additionally or alternatively, curing any vulnerabilities will require fewer modifications to the application's software, architecture, and/or intended functionality (as these characteristics are also earlier in their development cycle).

Abstract: Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.

Abstract: Systems and methods for determining and displaying comparative platform-specific security vulnerabilities with respect to cloud-based computing platforms are disclosed. To compare platform-specific security vulnerabilities of cloud-based computing platforms, the system detects a user interaction at a webpage for a network operation. The system then determines a first set of computing aspects associated with a set of cloud-based computing platforms using response data received from a processing of the network operation. The system then identifies a second set of computing aspects associated with a comparative cloud-based computing system platform and determines an overall-computing aspect impact level for associated computing aspects of the second set of computing aspects.

Abstract: Systems and methods for generating network mappings of self-executing program characteristics. For example, the system may receive a first user request to generate a mapping of a first network, wherein the mapping indicates self-executing program characteristics corresponding to each self-executing program of a first plurality of self-executing programs. In response to the first user request, the system may query the first plurality of self-executing programs to generate the mapping by identifying each self-executing program in the first plurality of self-executing programs, determining respective relationships between each self-executing program in the first plurality of self-executing programs and other self-executing programs in the first plurality of self-executing programs, and determining respective self-executing program characteristics for each self-executing program in the first plurality of self-executing programs. The system may store the mapping.

Abstract: Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications in an environment with limited or no available data. In particular, systems and methods are described herein for providing power consumption predictions for selected applications within network arrangements featuring devices with non-homogenous or unknown specifications.

Abstract: Systems and methods for determining and displaying platform-specific end-to-end security vulnerabilities via a graphical user interface (GUI) are disclosed. To provide users with visual indications of vulnerable computing aspects associated with a computing platform, the system identifies computing aspects associated with a platform. The system then obtains from a security entity, security-vulnerability descriptions that are associated with the platform. Using the security-vulnerability descriptions, the system then determines threat levels for each security-vulnerability description and then, using the determined threat levels, determines a computing aspect impact level for each computing aspect associated with the platform. The system then generates for display on a GUI, a graphical layout comprising each computing aspect impact level for each computing aspect associated with the platform.